A Simple Clique Camouflaging Against Greedy Maximum Clique Heuristics

Taking a small graph, on which the randomized New-Best-In maximum clique heuristic fails to find the maximum clique, we construct on its basis a class of graphs exemplifying the inefficiency of SM greedy heuristics considered by Brockington and Culberson. We show that a 7(k+1)-vertex graph from this class is enough to provide a counterexample for … Read more

Unit load and material handling considerations in facility layout design

The effectiveness of a layout design cannot be completely measured if the operational characteristics of the manufacturing system are ignored. There is, therefore, a need to develop integrated manufacturing system design models. In this paper, the integration of unit load and material handling considerations in facility layout design is presented. This integration is based on … Read more

An extended distance-based facility layout problem

The distance-based facility layout problem with unequal-area departments has been studied by many researchers for over 30 years. Still, current approaches require certain assumptions that limit the type of solutions obtained. In this paper, we consider manufacturing systems in which replicates of the same machine type may exist in the facility and propose an extended … Read more

Domination Analysis of Combinatorial Optimization Problems.

We use the notion of domination ratio introduced by Glover and Punnen in 1997 to present a new classification of combinatorial optimization (CO) problems: $\DOM$-easy and $\DOM$-hard problems. It follows from results proved already in the 1970’s that {\tt min TSP} (both symmetric and asymmetric versions) is $\DOM$-easy. We prove that several CO problems are … Read more

A hybrid genetic algorithm for manufacturing cell formation

Cellular manufacturing emerged as a production strategy capable of solving the problems of complexity and long manufacturing lead times in batch production. The fundamental problem in cellular manufacturing is the formation of product families and machine cells. This paper presents a new approach for obtaining machine cells and product families. The approach combines a local … Read more

STRONG LOWER BOUNDS FOR THE PRIZE COLLECTING STEINER PROBLEM IN GRAPHS

Given an undirected graph G with nonnegative edges costs and nonnegative vertex penalties, the prize collecting Steiner problem in graphs (PCSPG) seeks a tree of G with minimum weight. The weight of a tree is the sum of its edge costs plus the sum of the penalties of those vertices not spanned by the tree. … Read more

Hierarchical Network Design Using Simulated Annealing

The hierarchical network problem is the problem of finding the least cost network, with nodes divided into groups, edges connecting nodes in each groups and groups ordered in a hierarchy. The idea of hierarchical networks comes from telecommunication networks where hierarchies exist. Hierarchical networks are described and a mathematical model is proposed for a two … Read more

Facets of a polyhedron closely related to the integer knapsack-cover problem

We investigate the polyhedral structure of an integer program with a single functional constraint: the integer capacity-cover polyhedron. Such constraints arise in telecommunications planning and facility location applications, and feature the use of general integer (rather than just binary) variables. We derive a large class of facet-defining inequalities by using an augmenting technique that builds … Read more

A fast swap-based local search procedure for location problems

We present a new implementation of a widely used swap-based local search procedure for the P-median problem, proposed in 1968 by Teitz and Bart. Our method produces the same output as the best alternatives described in the literature and, even though its worst-case complexity is similar, it can be significantly faster in practice: speedups of … Read more

A hybrid genetic algorithm for the job shop scheduling problem

This paper presents a hybrid genetic algorithm for the Job Shop Scheduling problem. The chromosome representation of the problem is based on random keys. The schedules are constructed using a priority rule in which the priorities are defined by the genetic algorithm. Schedules are constructed using a procedure that generates parameterized active schedules. After a … Read more